OpenCTM: Difference between revisions
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Phantomsteve (talk | contribs) Proposed for deletion: Non-notable software, with no reliable, independent sources of information found; also added COI tag |
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Revision as of 19:49, 2 December 2009
It is proposed that this article be deleted because of the following concern:
If you can address this concern by improving, copyediting, sourcing, renaming, or merging the page, please edit this page and do so. You may remove this message if you improve the article or otherwise object to deletion for any reason. Although not required, you are encouraged to explain why you object to the deletion, either in your edit summary or on the talk page. If this template is removed, do not replace it. This message has remained in place for seven days, so the article may be deleted without further notice. Find sources: "OpenCTM" – news · newspapers · books · scholar · JSTOR Nominator: Please consider notifying the author/project: {{subst:proposed deletion notify|OpenCTM|concern=No evidence of notability of technology found at reliable sources. Article appears to have been created by developer themselves}} ~~~~Timestamp: 20091202194939 19:49, 2 December 2009 (UTC) Administrators: delete |
 | A major contributor to this article appears to have a close connection with its subject. (December 2009) |
| Developer(s) | Marcus Geelnard |
|---|---|
| Initial release | 2009 |
| Stable release | 1.0.1
/ November 15, 2009 |
| Written in | C |
| Operating system | Windows, Mac OS X, Linux, etc. |
| Type | 3D computer graphics |
| License | zlib license |
| Website | http://openctm.sourceforge.net/ |
OpenCTM is a 3D geometry technology for storing triangle-based meshes in a compact format.
The technology is divided into different parts:
- An open, binary file format
- An open source software library for reading and writing OpenCTM files
- A tool set for converting and viewing OpenCTM files
Features
- Efficient lossless compression
- Open source (zlib license)
- Highly portable
Compression
The compression is based on lossless entropy reduction, by means of various differentiation operations, followed by lossless entropy coding using the LZMA compression library.
See also
External links
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